Regularizing ad hoc retrieval scores

@inproceedings{Diaz2005RegularizingAH,
  title={Regularizing ad hoc retrieval scores},
  author={Fernando Diaz},
  booktitle={CIKM},
  year={2005}
}
The cluster hypothesis states: closely related documents tend to be relevant to the same request. We exploit this hypothesis directly by adjusting ad hoc retrieval scores from an initial retrieval so that topically related documents receive similar scores. We refer to this process as score regularization. Score regularization can be presented as an optimization problem, allowing the use of results from semi-supervised learning. We demonstrate that regularized scores consistently and… CONTINUE READING
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 161 citations. REVIEW CITATIONS

6 Figures & Tables

Topics

Statistics

02040'05'06'07'08'09'10'11'12'13'14'15'16'17'18
Citations per Year

161 Citations

Semantic Scholar estimates that this publication has 161 citations based on the available data.

See our FAQ for additional information.